Anchored in a real-world case study, this talk will elucidate the evolutionary trajectory of an AI chatbot product in the post-Chat GPT landscape, offering valuable insights into each phase: from hypothesis validation, to MVP creation, and successful commercialization.Attendees will gain firsthand knowledge of effective strategies for validating initial concepts through practical experiments and user feedback. The discussion will then pivot to the art of sculpting these validated ideas into a Minimum Viable Product (MVP), balancing between innovative design and technical pragmatism. Crucially, the journey from MVP to a commercially viable product will be demystified, spotlighting scalability, market adaptation, and the continual alignment with evolving AI advancements.The session aims to bridge the gap between technical and business teams, fostering a unified approach to product development. By dissecting a real-life example, attendees get actionable frameworks to navigate the nuanced landscape of product evolution in conversational AI, while advocating for a lean, adaptable methodology throughout the development cycle.
